Long-range correlations in stride intervals may emerge from non-chaotic walking dynamics.
Long-range correlations in stride intervals may emerge from non-chaotic walking dynamics.
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DOI:
10.1371/journal.pone.0073239
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发表时间:
2013
期刊:
影响因子:
3.7
通讯作者:
Hogan N
中科院分区:
文献类型:
--
作者:
Ahn J;Hogan N
Stride intervals of normal human walking exhibit long-range temporal correlations. Similar to the fractal-like behaviors observed in brain and heart activity, long-range correlations in walking have commonly been interpreted to result from chaotic dynamics and be a signature of health. Several mathematical models have reproduced this behavior by assuming a dominant role of neural central pattern generators (CPGs) and/or nonlinear biomechanics to evoke chaos. In this study, we show that a simple walking model without a CPG or biomechanics capable of chaos can reproduce long-range correlations. Stride intervals of the model revealed long-range correlations observed in human walking when the model had moderate orbital stability, which enabled the current stride to affect a future stride even after many steps. This provides a clear counterexample to the common hypothesis that a CPG and/or chaotic dynamics is required to explain the long-range correlations in healthy human walking. Instead, our results suggest that the long-range correlation may result from a combination of noise that is ubiquitous in biological systems and orbital stability that is essential in general rhythmic movements.
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影响因子:
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作者:
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通讯作者:
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影响因子:
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作者:
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DOI:
10.1115/1.2798313
发表时间:
1998-04-01
影响因子:
1.7
作者:
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通讯作者:
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DOI:
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发表时间:
1997-09-01
期刊:
DYNAMICS AND STABILITY OF SYSTEMS
影响因子:
--
作者:
Coleman, MJ;Chatterjee, A;Ruina, A
通讯作者:
Ruina, A